Popular GitHub Repositories for Esp32

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, support 11 programming languages

A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp.

PJON (Padded Jittering Operative Network) is an experimental, arduino-compatible, multi-master, multi-media network protocol.

Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner - ONNX/YOLOv8 - C#)

Realtime AI speech with OpenAI Realtime API on Arduino ESP32 with Secure Websockets and Deno edge functions with >10min uninterrupted conversations globally for AI toys, AI companions, AI devices and more

The simplest and lowest-cost AI integration solution. If you like this project, please give it a Star~ | 最简单、最低成本的AI接入方案。喜欢本项目的话点个 Star 吧~

小智ESP32的Java企业级管理平台，提供设备监控、音色定制、角色切换和对话记录管理的前后端及服务端一体化解决方案

:speech_balloon: An On-Premises, Streaming Speech Recognition System

中文Mixtral混合专家大模型（Chinese Mixtral MoE LLMs）

A personal wearable AI that runs locally

vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers

A conversational, AI device + software framework for companionship, entertainment, education, healthcare, IoT applications, and DIY robotics. Built with Python, NextJS, Arduino, ESP32, LLMs (GPT-4o), Deepgram STT and Azure TTS ?

HomeGenie, the programmable automation intelligence

Seeed SenseCraft Model Assistant is an open-source project focused on embedded AI. ???

Neural Networks with low bit weights on low end 32 bit microcontrollers such as the CH32V003 RISC-V Microcontroller and others

AI Driven Machine Automation Platform ??

AI Driven Machine Automation Platform ??

一个基于云端语音识别的智能控制设备，类似于天猫精灵，小爱同学。采用的芯片为stm32f407,wm8978,esp8266。

Highly optimized inference engine for Binarized Neural Networks

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)